The relationship between energy consumption structure, economic structure and energy intensity in China

被引:210
作者
Feng, Taiwen [1 ,2 ,3 ]
Sun, Linyan [1 ,2 ,3 ]
Zhang, Ying [1 ,2 ,3 ]
机构
[1] Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China
[2] Minist Educ Proc Control & Efficiency Projects, Key Lab, Xian, Peoples R China
[3] State Key Lab Mfg, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
Energy intensity; Energy consumption structure; Economic structure; AUTOREGRESSIVE TIME-SERIES; DEVELOPING-COUNTRIES; UNIT-ROOT; COINTEGRATION; PRICES; DEMAND;
D O I
10.1016/j.enpol.2009.08.008
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper investigates the long-run equilibrium relationships, temporal dynamic relationships and causal relationships between energy consumption structure, economic structure and energy intensity in China. Time series variables over the periods from 1980 to 2006 are employed in empirical tests. Cointegration tests suggest that these three variables tend to move together in the long-run. In addition, Granger causality tests indicate that there is a unidirectional causality running from energy intensity to economic structure but not vice versa. Impulse response analysis provides reasonable evidences that one shock of the three variables will cause the periods of destabilized that followed. However, the impact of the energy consumption structure shock on energy intensity and the impact of the economic structure shock on energy consumption structure seem to be rather marginal. The findings have significant implications from the point of view of energy conservation and economic development. in order to decrease energy intensity, Chinese government must continue to reduce the proportion of coal in energy consumption, increase the utilization efficiency of coal and promote the upgrade of economic structure. Furthermore, a full analysis of factors that may relate to energy intensity (e.g. energy consumption structure, economic structure) should be conducted before making energy policies. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5475 / 5483
页数:9
相关论文
共 30 条
[1]   Modeling and forecasting energy consumption in China: Implications for Chinese energy demand and imports in 2020 [J].
Adams, F. Gerard ;
Shachmurove, Yochanan .
ENERGY ECONOMICS, 2008, 30 (03) :1263-1278
[2]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[3]   The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries [J].
Asafu-Adjaye, J .
ENERGY ECONOMICS, 2000, 22 (06) :615-625
[4]   Prices, technology development and the rebound effect [J].
Birol, F ;
Keppler, JH .
ENERGY POLICY, 2000, 28 (6-7) :457-469
[5]  
BP.BP, 2006, STAT REV WORLD EN 20
[6]   Oil price fluctuations and Singapore economy [J].
Chang, YH ;
Wong, JF .
ENERGY POLICY, 2003, 31 (11) :1151-1165
[7]   Energy consumption in China: past trends and future directions [J].
Crompton, P ;
Wu, YR .
ENERGY ECONOMICS, 2005, 27 (01) :195-208
[8]   LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME-SERIES WITH A UNIT-ROOT [J].
DICKEY, DA ;
FULLER, WA .
ECONOMETRICA, 1981, 49 (04) :1057-1072
[9]   DISTRIBUTION OF THE ESTIMATORS FOR AUTOREGRESSIVE TIME-SERIES WITH A UNIT ROOT [J].
DICKEY, DA ;
FULLER, WA .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (366) :427-431
[10]   COINTEGRATION AND ERROR CORRECTION - REPRESENTATION, ESTIMATION, AND TESTING [J].
ENGLE, RF ;
GRANGER, CWJ .
ECONOMETRICA, 1987, 55 (02) :251-276